How Remoteville checks and expires listings
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong background in security engineering with specialized experience in AI/ML security
- Proven experience securing AI infrastructure and cloud-native services on Google Cloud
- Deep understanding of data privacy regulations and technical safeguards for training datasets
- Ability to conduct technical security workshops and communicate AI risks to varied stakeholders
- Experience with AI security frameworks and AI-specific red teaming or audits
- Familiarity with securing Generative AI and LLMs in production
Nice to have
- Resilient
- Analytical
- Collaborative
- Detail-oriented
Day to day
- Secure the end-to-end AI and machine learning lifecycle across development and deployment.
- Design and implement security controls for AI/ML pipelines to protect models and data.
- Conduct threat modeling and security assessments for AI infrastructure including model theft data poisoning and prompt injection.
- Collaborate with data science and engineering teams to operationalize adversarial ML defenses and privacy-preserving techniques.
- Develop and deliver training on secure AI development practices and AI-specific monitoring using Security Command Center Enterprise.